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Platforms that last, and the evidence behind them.

Data platforms, AI governance and open source, each with the problem, the architecture and the measured result.
total annual value from Project Siphon
~$1M/yr
in potential AI overruns prevented
$100K+/mo
database change capture, closing a 30–40% gap
100%
pipeline runtime reduction, 1,456 compute hours a year saved
62%

Portfolio

Projects and case studies

  • Data platforms

    Project Siphon

    Real-time change data capture for every GitLab deployment.

    Production · GitLab
    • PostgreSQL
    • NATS JetStream
    • Go
    • Apache Iceberg

    100%

    of database changes captured, closing a 30–40% gap

    Read case study

  • Governance & AI

    Cortex AI Governance & FinOps

    Governance that lets a company adopt AI without runaway spend.

    Production · GitLab company standard
    • Snowflake Cortex
    • RBAC
    • Credit monitoring
    • Alerting

    $100K+/mo

    potential AI overruns prevented

    Read case study
  • PostCraft editor with a formatted LinkedIn post and live previews

    Products

    PostCraft

    A LinkedIn post editor whose formatting survives the paste.

    Live · free, no login
    • React
    • TypeScript
    • Unicode text styling
    • AI rewrites
    Read case study Try it live

  • Open source

    IceGov

    Open-source governance for Apache Iceberg lakehouses.

    Open source · Apache 2.0
    • Apache Iceberg
    • GitOps
    • Policy as code
    • NLU

    Apache 2.0

    License — open source from day one

    Read case study

  • Products

    ObservaKit

    AI-powered observability at the price of a dinner, not a SaaS contract.

    In development · ~$21/mo vs $300–500/mo
    • OpenTelemetry
    • NATS
    • Grafana OSS
    • Ollama

    ~$21/mo

    Operating cost vs. $300–500/mo commercial baseline

    Read case study

  • Governance & AI

    ACIF / AgentWatch

    AI Cost Intelligence Framework — instrumented economics for agentic workloads.

    Framework
    • Cost instrumentation
    • Agentic workloads

Leadership

How I lead

  • DRI for Project Siphon from feasibility to production
  • Runs a working council across seven functions, aligning roadmaps without formal authority
  • Leads and develops principal and staff engineers, with input to mid-year and annual evaluations
  • Owns tooling budget evaluation, reporting to Directors and VP
  • Previously led a team of 10 at Infosys across Product, Infrastructure and GTM

Platforms

  • Distributed systems and CDC
  • NATS, Kafka
  • Apache Iceberg
  • Snowflake
  • ClickHouse
  • PostgreSQL
  • GCP, AWS

Governance

  • Data governance
  • IAM and RBAC
  • Data quality and observability
  • AI/LLM cost governance and FinOps
  • Vault

Leadership

  • Cross-org program leadership
  • Developing senior engineers
  • Roadmap and budget planning
  • Operational excellence

Engineering

  • Go
  • Python
  • SQL
  • PySpark
  • Kubernetes
  • Helm
  • Terraform
  • Airflow
  • dbt